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質問 # 213
A company wants to create a chatbot and integrate the chatbot with its current web application.
Which AWS service will meet these requirements?
正解：B
解説：
Explanation
The AWS service that will meet the requirements of the company that wants to create a chatbot and integrate the chatbot with its current web application is Amazon Lex. Amazon Lex is a service that helps customers build conversational interfaces using voice and text. The company can use Amazon Lex to create a chatbot that can understand natural language and respond to user requests, using the same deep learning technologies that power Amazon Alexa. Amazon Lex also provides easy integration with other AWS services, such as Amazon Comprehend, Amazon Polly, and AWS Lambda, as well as popular platforms, such as Facebook Messenger, Slack, and Twilio. Amazon Lex helps customers create engaging and interactive chatbots for their web applications. Amazon Kendra, Amazon Textract, and Amazon Polly are not the best services to use for this purpose. Amazon Kendra is a service that helps customers provide accurate and natural answers to natural language queries using machine learning. Amazon Textract is a service that helps customers extract text and data from scanned documents using optical character recognition (OCR) and machine learning. Amazon Polly is a service that helps customers convert text into lifelike speech using deep learning. These services are more useful for different types of natural language processing and generation tasks, rather than creating and integrating chatbots.
質問 # 214
Which task does AWS perform automatically?
正解：B
解説：
AWS performs some tasks automatically to help you manage and secure your AWS resources. One of these tasks is patching Amazon EC2 instances. AWS provides two options for patching your EC2 instances: managed instances and patch baselines. Managed instances are a group of EC2 instances or on-premises servers that you can manage using AWS Systems Manager. Patch baselines define the patches that AWS Systems Manager applies to your instances. You can use AWS Systems Manager to automate the process of patching your instances based on a schedule or a maintenance window.
質問 # 215
A company has deployed an Amazon EC2 instance.
Which option is an AWS responsibility under the AWS shared responsibility model?
正解：B
解説：
According to the AWS shared responsibility model, AWS is responsible for protecting the infrastructure that runs all of the services offered in the AWS Cloud, such as data centers, hardware, software, networking, and facilities1. This includes the configuration of infrastructure devices, such as routers, switches, firewalls, and load balancers2. Customers are responsible for managing their data, applications, operating systems, security groups, and other aspects of their AWS environment1. Therefore, options A, B, and D are customer responsibilities, not AWS responsibilities. Reference: 1: AWS Well-Architected Framework - Elasticity; 2: Reactive Systems on AWS - Elastic
質問 # 216
A company wants to create and apply an IAM policy for a specific user.
Which IAM policy type will meet this requirement?
正解：C
解説：
Based on AWS IAM documentation,inline policiesare policies that aredirectly embedded into a single IAM user, group, or role. When a company wants to create and apply a policy specifically for one user and does not intend to reuse it, inline policies are the most appropriate option.
AWS managed policies are created and maintained by AWS and are intended for general use cases. Customer managed policies are reusable policies created by customers and can be attached to multiple users, groups, or roles. Amazon S3 bucket policies are resource-based policies and apply only to S3 buckets, not directly to IAM users.
AWS documentation explains that inline policies maintain astrict one-to-one relationshipwith the entity to which they are attached. If the user is deleted, the inline policy is also deleted automatically. This makes inline policies ideal foruser-specific, tightly scoped permissions, which matches the requirement in the question exactly.
質問 # 217
A company wants to integrate natural language processing (NLP) into business intelligence (Bl) dashboards.
The company wants to ask questions and receive answers with relevant visualizations.
Which AWS service or tool will meet these requirements?
正解：A
解説：
Amazon QuickSight Q is a natural language query feature that lets you ask questions about your data using everyday language and get answers in seconds. You can type questions such as "What are the total sales by region?" or "How did marketing campaign A perform?" and get answers in the form of relevant visualizations, such as charts or tables. You can also use Q to drill down into details, filter data, or perform calculations. Q uses machine learning to understand your data and your intent, and provides suggestions and feedback to help you refine your questions.
質問 # 218
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